A direct-to-drive neural data acquisition system
Name
Kinney-2015-A direct-to-drive ne.pdf
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1.57 MB
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Checksum (MD5)
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Author(s)
Bernstein, Jacob G.
Meyer, Andrew J.
Barber, Jessica B.
Bolivar, Marti
Newbold, Bryan
Scholvin, Jorg
Moore-Kochlacs, Caroline
Wentz, Christian T.
Kopell, Nancy J.
Kinney, Justin
Date Issued
September 2015
Journal
Frontiers in Neural Circuits
Publisher
Frontiers Research Foundation
Citation
Kinney, Justin P., Jacob G. Bernstein, Andrew J. Meyer, Jessica B. Barber, Marti Bolivar, Bryan Newbold, Jorg Scholvin, et al. “A Direct-to-Drive Neural Data Acquisition System.” Front. Neural Circuits 9 (September 1, 2015).
Version
Final published version
Abstract
Driven by the increasing channel count of neural probes, there is much effort being directed to creating increasingly scalable electrophysiology data acquisition (DAQ) systems. However, all such systems still rely on personal computers for data storage, and thus are limited by the bandwidth and cost of the computers, especially as the scale of recording increases. Here we present a novel architecture in which a digital processor receives data from an analog-to-digital converter, and writes that data directly to hard drives, without the need for a personal computer to serve as an intermediary in the DAQ process. This minimalist architecture may support exceptionally high data throughput, without incurring costs to support unnecessary hardware and overhead associated with personal computers, thus facilitating scaling of electrophysiological recording in the future.
MIT Department
Massachusetts Institute of Technology. Synthetic Neurobiology Group
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Media Laboratory
McGovern Institute for Brain Research at MIT
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.3389/fncir.2015.00046
